Chao‐Qiang Lai

10.4k citations
177 papers · 6.9k indexed · 1 hit paper · h-index 43

Chao‐Qiang Lai

168 papers receiving 6.7k citations

Hit Papers

Mixed linear model approach adapted for genome-wide assoc...1.5k201020262015202050010001.5k

Peers

Chao‐Qiang Lai
Comparison fields: 5 of 155
  • Aging 244
  • Genetics 2.5k
  • Endocrinology, Diabetes and Metabolism 907
  • Endocrine and Autonomic Systems 337
  • Physiology 1.2k
Replace Laurence D. Parnell with:
Laurence D. Parnell United States
Kelle H. Moley United States
Patrick Descombes Switzerland
Karen L. Svenson United States
Dominique Gauguier United Kingdom
Joëlle Dupont France
Jie Yin China
Mark V. Boekschoten Netherlands
Je Kyung Seong South Korea
Hannelore Daniel Germany
Chao‐Qiang Lai relative to Laurence D. Parnell United States Laurence D. Parnell's profile →
Citations per field
00.5×1.5×
Laurence D. Parnell · 1×
Citations per year

Countries citing papers authored by Chao‐Qiang Lai

Since Specialization
Citations

This map shows the geographic impact of Chao‐Qiang Lai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chao‐Qiang Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Qiang Lai more than expected).

Fields of papers citing papers by Chao‐Qiang Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Qiang Lai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chao‐Qiang Lai. The network helps show where Chao‐Qiang Lai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chao‐Qiang Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chao‐Qiang Lai Line = papers co-authored together Chao‐Qiang Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20242
4 20235
5 20231
6 20237
7 202235
8 20216
9 20209
10 20197
11 201846
12 201639
13 201314
14 201144
15 201134
16 201019
17 200944
18 200830
19 2004181
20
Expression profiling and behavioral responses to drugs of abuse
20001

About Chao‐Qiang Lai

Chao‐Qiang Lai is a scholar working on Aging, Genetics and Endocrinology, Diabetes and Metabolism, having authored 177 papers that have together received 6.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (35 papers), Diet and metabolism studies (21 papers), Nutrition, Genetics, and Disease (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Lipoproteins and Cardiovascular Health (17 papers), Diet, Metabolism, and Disease (16 papers), Lipid metabolism and disorders (16 papers) and Fatty Acid Research and Health (14 papers). The work is most often cited by research in Aging (244 citations), Genetics (2.5k citations) and Endocrinology, Diabetes and Metabolism (907 citations). Chao‐Qiang Lai has collaborated with scholars based in United States, Spain and China. Frequent co-authors include José M. Ordovás, Laurence D. Parnell, Donna K. Arnett, Katherine L. Tucker, Hemant K. Tiwari, Jianming Yu, Edward S. Buckler, Rory J. Todhunter, Michael A. Gore and Zhiwu Zhang. Their work appears in journals such as Science, Circulation and Journal of Clinical Investigation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026